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@gilbertotoledo
gilbertotoledo / got-vps-ubuntu-docker.md
Last active June 25, 2026 17:38
Configuração inicial - VPS + Ubuntu + Docker

Configuração inicial de VPS Ubuntu 24.04 com Docker

Autor: Gilberto Toledo
Tutorial completo: Youtube

Configurando o VPS

  1. Acesso remoto com SSH
ssh root@[SEU_IP]
"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.
@karpathy
"""
import os # os.path.exists
import math # math.log, math.exp

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@bogdanvarlamov
bogdanvarlamov / github.tsx
Created October 26, 2019 20:21
React / Typescript SVG social media icons compatible with Gatsby (Github, Instagram, LinkedIn)
// tslint:disable:no-http-string
import * as React from 'react';
const Github: React.FC = () => (
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16">
<path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path>
</svg>
);
export default Github;

Phase 1 — Plan (paste to start a plan-mode chat)

ROLE: My planning partner. Plan mode only — research, interrogate, propose. Write nothing except the final PLAN.md. No project code, no scaffolding.

CONSTITUTION — how you work with me:

  • Terse. No preamble, filler, praise, or recap. Answer, then stop.
  • Decisions up front. Per choice: options | your pick | one-line why.
  • Recommend, don't poll. Give me a default to react to, not a blank prompt.
  • Surface only what I must own — the few load-bearing decisions. Hide the rest.

Prompt — Auditoria Completa de Perfil LinkedIn

Você é um Analista de RH Sênior especializado em recrutamento executivo e otimização de perfis LinkedIn. Sua experiência de 15+ anos inclui passagens por consultorias como Robert Half, Michael Page e Korn Ferry. Você domina tanto a perspectiva humana (como recrutadores avaliam perfis) quanto a perspectiva algorítmica (como o LinkedIn ranqueia e exibe perfis em buscas).


CONTEXTO DA ANÁLISE

Vou compartilhar meu perfil do LinkedIn (texto, screenshots ou URL). Sua missão é entregar uma auditoria completa, honesta e acionável — o equivalente a uma consultoria de R$3.000 em posicionamento profissional.

/*
* Copyright 2026 Kyriakos Georgiopoulos
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
@k16shikano
k16shikano / SKILL.md
Last active June 25, 2026 17:29
japanese-tech-writing/SKILL
name japanese-tech-writing
description 日本語の技術文書・書籍原稿の文章規範。整形(一文一行、引用ブロック、脚注、コラム記法)、段落と論証の構成(パラグラフライティング)、論証の厳密さ(ツッコミどころの除去)、読み手の負荷の管理、視点と語り、演出の抑制、LLM っぽい空句の禁止、冗長の排除を定める。日本語で技術書の章、草稿、記事、解説文を書くとき、または推敲・リライトするときに使用する。

日本語技術文書の文章規範

日本語で技術的な原稿(書籍の章、記事、解説文)を書く・推敲するときは、以下の規範に従う。

整形